code: def test_lmnn(self):
      lmnn = LMNN(n_neighbors=5, learn_rate=1e-6, verbose=False)
      lmnn.fit(self.X, self.y)
      res_1 = lmnn.transform(self.X)
  
      lmnn = LMNN(n_neighbors=5, learn_rate=1e-6, verbose=False)
      res_2 = lmnn.fit_transform(self.X, self.y)
  
      assert_array_almost_equal(res_1, res_2)
  
file_path: metric-learn/test/test_fit_transform.py
imports: import unittest
  import numpy
  from sklearn.datasets import load_iris
  from numpy.testing import assert_array_almost_equal
  from metric_learn import LMNN, NCA, LFDA, Covariance, MLKR, LSML_Supervised, ITML_Supervised, SDML_Supervised, RCA_Supervised, MMC_Supervised
label_desc: Use image node_id 5 for calling the TestFitTransform obj's underlying member method code with example usage: obj.test_lmnn() without return types